BSc (120 credit hour) Concentrated Honours in Actuarial Science
Students who obtain an Honours degree will have covered the subject material required for sitting most of the Society of Actuaries examinations. Students interested in eventually pursuing graduate studies are particularly encouraged to consider Honours. Honours students complete a minimum of 54 credit hours above the 1000 level in Actuarial Science with a grade of C or better and a minimum GPA of 3.0. Honours students are required to write a research-based Honours thesis. The research thesis and the Honours Qualifying Examination requirement are satisfied through completion of STAT 4950.03/ACSC 4950.03.
Admission to Honours
Students must apply for admission to Honours programs. Students considering Honours in Actuarial science should consult with the Actuarial Science Honours Advisor early in their studies.
Departmental requirements
In addition to fulfilling the requirements outlined in the Academic Regulations and College of Arts and Science Degree Requirements sections of this calendar, students in a BSc Concentrated Honours program in Actuarial science must complete the following courses:
1000 level
- MATH 1000.03: Differential and Integral Calculus I/MATH 1010.03: Differential and Integral Calculus II or MATH 1215.03: Life Sciences Calculus/MATH 1010.03: Differential and Integral Calculus II or MATH 1500X/Y: Calculus
- MATH 1030.03 : Matrix Theory and Linear Algebra I
- ECON 1101.03: Principles of Microeconomics/ECON 1102.03: Principles of Macroeconomics
2000 level
- CSCI 2202.03: Computer modelling for scientists
- MATH 2001.03: Intermediate Calculus I
- MATH 2040.03: Matrix Theory and Linear Algebra II or MATH 2135.03: Linear Algebra
- STAT 2060.03: Introduction to Probability and Statistics
- STAT 2080.03: Statistical Methods for Data Analysis and Inference
- STAT 2450.03: Introduction to Data Mining with R
- STAT 2600.03: Theory of Interest/MATH 2600.03: Theory of Interest
3000 level
4000 level
Choices
- Two of the following courses:
- ACSC 3740.03: Predictive Analytics
- ACSC 4703.03/STAT 4703.03: Actuarial Models II
- ACSC 4720.03/STAT 4720.03: Life Contingencies II
- One of the following courses:
- STAT 3450.03: Statistical learning with R
- STAT 4350.03: Applied Multivariate Analysis
- STAT 4390.03: Time Series Analysis
- STAT 4620.03: Data Analysis
Electives
In addition to the above courses, you must take at least 2 additonal elective courses. The elective courses can be chosen from any of the courses listed above, or from the following courses, or any courses that are specified as Actuarial Science electives in any future version of the University Calendar prior to the time of your graduation.
2000 level
MATH 2052.03: Introduction to Numerical Programming
MATH 2120.03: Methods of Ordinary DIfferential Equations
MATH 2300.03: Mathematical Modelling
MATH 2505.03: Introductory Analysis
STAT 2430.03: Data Visualization
3000 Level
MATH 3120.03: Differnetial Equations
MATH 3210.03: Introduction to Numerical Analysis
MATH 3260.03: Applied Differential Equations
MATH 3300.03: Optimization
MATH 3400.03: Classical Game Theory
MATH 3501.03: Intermediate Analysis I
MATH 3502.03: Intermediate Analysis II
MATH 3900.03: Financial Mathematics
4000 Level
MATH 4010.03: Introduction to Measure Theory and Integration
MATH 4140.03: Introduction to Functional Analysis
MATH 4540.03: Applied Analysis
STAT 4100.03: Survival Analysis
STAT 4130.03: Bayesian Data Analysis
STAT 4370.03: Stochastic Processes
STAT 4390.03: Time Series Analysis
STAT 4620.03: Data Analysis
STAT 4690.03: Computational Statistics